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[P] Image Manipulation and Classification: Identifying traffic objects

This is an example of an image classifier built with Keras to identify presence of traffic objects.

Specifically, the VGG16 network was used as the pre-trained model, and the images themselves were manipulated using PIL for cropping purposes, and using Grad-CAM and cv2 to respectively generate a heatmap, and superimpose the heatmap on the relevant image.

Findings can be found here. Hope that you find this of use, and any feedback or tips greatly appreciated.

submitted by /u/plentyofnodes
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.